In the modern world, data is frequently likened to a precious resource, akin to a treasure chest waiting to be unlocked. Just as raw materials must be crafted into finished goods before they can be used, raw data needs to be meticulously processed and refined to reveal its true value. This is where data engineering comes into play. While data science focuses on extracting insights and knowledge from data, data engineering is about constructing and maintaining the systems that make this extraction possible.